Triple
T25490320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chingam |
E638819
|
entity |
| Predicate | associatedWithHarvest |
P2830
|
FINISHED |
| Object | Onam harvest celebrations |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Onam harvest celebrations | Statement: [Chingam, associatedWithHarvest, Onam harvest celebrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHarvest Context triple: [Chingam, associatedWithHarvest, Onam harvest celebrations]
-
A.
hasAgriculturalAssociation
Indicates that there exists a formal or recognized connection between an entity and an agricultural organization, group, or activity.
-
B.
associatedWithStand
Indicates a relationship where an entity is linked or connected to a particular stand, such as being located at, operating in, or otherwise related to that stand.
-
C.
associatedWithHunting
Indicates a relationship where an entity is connected to, involved in, or commonly linked with the activity or practice of hunting.
-
D.
associatedWithHorizon
Indicates a relationship in which something is linked or connected to a horizon, boundary, or limiting context.
-
E.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 21, 2026, 2:38 p.m.